Optimum Generation Scheduling Based Dynamic Price Making for Demand Response in a Smart Power Grid

Abstract : Smart grid is a recently growing area of research including optimum and reliable operation of bulk power grid from production to end-user premises. Demand side activities like demand response (DR) for enabling consumer participation are also vital points for a smarter operation of the electric power grid. For DR activities in end-user level regulated by energy management systems, a dynamic price variation determined by optimum operating strategies should be provided aiming to shift peak demand periods to off-peak periods of energy usage. In this regard, an optimum generation scheduling based price making strategy is evaluated in this paper together with the analysis of the impacts of dynamic pricing on demand patterns with case studies. Thus, the importance of considering DR based demand pattern changes on price making strategy is presented for day-ahead energy market structure.
Type de document :
Communication dans un congrès
Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.371-379, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_41〉
Liste complète des métadonnées

Littérature citée [11 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01274799
Contributeur : Hal Ifip <>
Soumis le : mardi 16 février 2016 - 11:25:26
Dernière modification le : mercredi 11 octobre 2017 - 13:52:02
Document(s) archivé(s) le : mardi 17 mai 2016 - 17:25:16

Fichier

978-3-642-54734-8_41_Chapter.p...
Fichiers produits par l'(les) auteur(s)

Licence


Distributed under a Creative Commons Paternité 4.0 International License

Identifiants

Citation

Nikolaos Paterakis, Ozan Erdinc, João Catalão, Anastasios Bakirtzis. Optimum Generation Scheduling Based Dynamic Price Making for Demand Response in a Smart Power Grid. Luis M. Camarinha-Matos; Nuno S. Barrento; Ricardo Mendonça. 5th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2014, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-423, pp.371-379, 2014, Technological Innovation for Collective Awareness Systems. 〈10.1007/978-3-642-54734-8_41〉. 〈hal-01274799〉

Partager

Métriques

Consultations de la notice

62

Téléchargements de fichiers

13